logo
ResearchBunny Logo
Predicting and improving complex beer flavor through machine learning

Food Science and Technology

Predicting and improving complex beer flavor through machine learning

M. Schreurs, S. Piampongsant, et al.

This fascinating study by Michiel Schreurs, Supinya Piampongsant, Miguel Roncoroni and colleagues delves into the world of beer, analyzing 250 varieties to unveil the secrets behind flavor and consumer appreciation. Utilizing gradient boosting machine learning models, it not only predicts complex flavor features but also identifies key chemicals that enhance beer variants. Cheers to science!

00:00
00:00
Playback language: English
Citation Metrics
Citations
0
Influential Citations
0
Reference Count
0

Note: The citation metrics presented here have been sourced from Semantic Scholar and OpenAlex.

Related Publications

Explore these studies to deepen your understanding of the subject.

Synchronously Predicting Tea Polyphenol and Epigallocatechin Gallate in Tea Leaves Using Fourier Transform-Near-Infrared Spectroscopy and Machine Learning
Food Science and Technology

Synchronously Predicting Tea Polyphenol and Epigallocatechin Gallate in Tea Leaves Using Fourier Transform-Near-Infrared Spectroscopy and Machine Learning

S. Ye, H. Weng, et al.

Comparing machine learning algorithms for predicting ICU admission and mortality in COVID-19
Medicine and Health

Comparing machine learning algorithms for predicting ICU admission and mortality in COVID-19

S. Subudhi, A. Verma, et al.

Tracking and tracing water consumption for informed water sensitive intervention through machine learning approach
Environmental Studies and Forestry

Tracking and tracing water consumption for informed water sensitive intervention through machine learning approach

A. T. Abraha, T. A. Woldeamanuel, et al.

A machine learning-based chemoproteomic approach to identify drug targets and binding sites in complex proteomes
Medicine and Health

A machine learning-based chemoproteomic approach to identify drug targets and binding sites in complex proteomes

I. Piazza, N. Beaton, et al.

Listen, Learn & Level Up
Over 10,000 hours of research content in 25+ fields, available in 12+ languages.
No more digging through PDFs, just hit play and absorb the world's latest research in your language, on your time.
listen to research audio papers with researchbunny